School of Electrical and Electronic Engineering (EEE)

This dataverse is a collection of the School of Electrical and Electronic Engineering’s research data.

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1,071 to 1,080 of 3,697 Results

ft_model_0_29.pth Oct 16, 2024 - Related Data for: Fingerprinting Deep Neural Networks - a DeepFool Approach Unknown - 1.1 MB - MD5: e3c72725fb7f42805e10fc4575efadc3
ft_model_0_29.pth Oct 16, 2024 - Related Data for: Fingerprinting Deep Neural Networks - a DeepFool Approach Unknown - 1.1 MB - MD5: 93635cb522d60171c473b90dc680b9cf
gen_deepfool_imagenet10_resnet18.py Oct 16, 2024 - Related Data for: Fingerprinting Deep Neural Networks - a DeepFool Approach Python Source Code - 1.5 KB - MD5: 9c9f555e83cccad7f87cc73cbee65c83
hubconf.py Oct 16, 2024 - Related Data for: Fingerprinting Deep Neural Networks - a DeepFool Approach Python Source Code - 225 B - MD5: 9d51dbe56235eef463c3dcf6c77a782d
__init__.cpython-38.pyc Oct 16, 2024 - Related Data for: Fingerprinting Deep Neural Networks - a DeepFool Approach Unknown - 417 B - MD5: 46422d2911d1eb362557f4a07a57ed99
__init__.py Oct 16, 2024 - Related Data for: Fingerprinting Deep Neural Networks - a DeepFool Approach Python Source Code - 169 B - MD5: d0b2147dba3474a71e5c086d5804b9a8
load_img_tensor_imagenet10.py Oct 16, 2024 - Related Data for: Fingerprinting Deep Neural Networks - a DeepFool Approach Python Source Code - 2.7 KB - MD5: fadca6641a3b0e9e2003af0b19fc4d6a
mr_comp_test.py Oct 16, 2024 - Related Data for: Fingerprinting Deep Neural Networks - a DeepFool Approach Python Source Code - 2.3 KB - MD5: 7eb21f1031b647fd2a6d097ef1bbdd2f
processed_data_100 fingerprints.tab Oct 16, 2024 - Related Data for: Fingerprinting Deep Neural Networks - a DeepFool Approach Tabular Data - 2.3 KB - 9 Variables, 46 Observations - UNF:6:SczDG/K0h5MoF1viJWM7Pg==
README.md Oct 16, 2024 - Related Data for: Fingerprinting Deep Neural Networks - a DeepFool Approach Markdown Text - 2.5 KB - MD5: 02b587d15846a8b9b69e65081c1450df Documentation

ft_model_0_29.pth

Oct 16, 2024 - Related Data for: Fingerprinting Deep Neural Networks - a DeepFool Approach

Unknown - 1.1 MB -

ft_model_0_29.pth

Oct 16, 2024 - Related Data for: Fingerprinting Deep Neural Networks - a DeepFool Approach

Unknown - 1.1 MB -

gen_deepfool_imagenet10_resnet18.py

Oct 16, 2024 - Related Data for: Fingerprinting Deep Neural Networks - a DeepFool Approach

Python Source Code - 1.5 KB -

hubconf.py

Oct 16, 2024 - Related Data for: Fingerprinting Deep Neural Networks - a DeepFool Approach

Python Source Code - 225 B -

__init__.cpython-38.pyc

Oct 16, 2024 - Related Data for: Fingerprinting Deep Neural Networks - a DeepFool Approach

Unknown - 417 B -

__init__.py

Oct 16, 2024 - Related Data for: Fingerprinting Deep Neural Networks - a DeepFool Approach

Python Source Code - 169 B -

load_img_tensor_imagenet10.py

Oct 16, 2024 - Related Data for: Fingerprinting Deep Neural Networks - a DeepFool Approach

Python Source Code - 2.7 KB -

mr_comp_test.py

Oct 16, 2024 - Related Data for: Fingerprinting Deep Neural Networks - a DeepFool Approach

Python Source Code - 2.3 KB -

processed_data_100 fingerprints.tab

Oct 16, 2024 - Related Data for: Fingerprinting Deep Neural Networks - a DeepFool Approach

Tabular Data - 2.3 KB - 9 Variables, 46 Observations -

README.md

Oct 16, 2024 - Related Data for: Fingerprinting Deep Neural Networks - a DeepFool Approach

Markdown Text - 2.5 KB -

Documentation

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